Triple
T22938067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Friedman |
E569639
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Inferno |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Inferno | Statement: [Marty Friedman, notableAlbum, Inferno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inferno Context triple: [Marty Friedman, notableAlbum, Inferno]
-
A.
Inferno
Inferno is a distributed operating system developed at Bell Labs, known for its use of the Limbo programming language and its focus on portable, networked computing.
-
B.
Inferno
Inferno is one of the most iconic and strategically complex bomb defusal maps in Counter-Strike, known for its tight chokepoints and intense mid and banana control battles.
-
C.
Inferno
"Inferno" is a 1999 American supernatural horror film edited by Tom Elkins, known for its demonic themes and atmospheric scares.
-
D.
Inferno
chosen
Inferno is a 2004 studio album by the British heavy metal band Motörhead, known for its aggressive sound and hard-driving style.
-
E.
Inferno
Inferno is a red Autobot fire truck from the Transformers franchise, known for his role as a loyal rescue specialist and warrior.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18136bf448190afa04f8b55a8bb6e |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.